The classification of online consumer reviews: A systematic literature review and integrative framework

2021 ◽  
Vol 135 ◽  
pp. 226-251
Author(s):  
Lili Zheng
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Consumer Reviews ◽  
Integrative Framework ◽  
Online Consumer Reviews ◽  
Online Consumer

scholarly journals Assessment, Implication, and Analysis of Online Consumer Reviews: A Literature Review

2017 ◽  
pp. 43-74
Author(s):  
Oshin Anand ◽  
◽  
Praveen Ranjan Srivastava ◽  
Atanu Rakshit ◽  
◽  
...  
Keyword(s):  
Literature Review ◽  
Consumer Reviews ◽  
Online Consumer Reviews ◽  
Online Consumer

Aspect context aware sentiment classification of online consumer reviews

2020 ◽  
Vol 48 (3) ◽  
pp. 117-128
Author(s):  
Barkha Bansal ◽  
Sangeet Srivastava
Keyword(s):  
Sentiment Classification ◽  
Superior Performance ◽  
Context Aware ◽  
Lexical Resources ◽  
Real World Data ◽  
Consumer Reviews ◽  
Content Type ◽  
Online Consumer Reviews ◽  
Online Consumer

Purpose Aspect based sentiment classification is valuable for providing deeper insight into online consumer reviews (OCR). However, the majority of the previous studies explicitly determine the orientation of aspect related sentiment bearing word and overlook the aspect-context. Therefore, this paper aims to propose an aspect-context aware sentiment classification of OCR for deeper and more accurate insights. Design/methodology/approach In the proposed methodology, first, aspect descriptions and sentiment bearing words are extracted. Then, the skip-gram model is used to extract the first set of features to capture contextual information. For the second category of features, cosine similarity is used between a pre-defined seed word list and aspects, to capture aspect context sensitive sentiments. The third set of features includes weighted word vectors using term frequency-inverse document frequency. After concatenating features, ensemble classifier is used using three base classifiers. Findings Experimental results on two real-world data sets with variable lengths, acquired from Amazon.com and TripAdvisor.com, show that the advised ensemble approach significantly outperforms sentiment classification accuracy of state-of-the-art and baseline methods. Originality/value This method is capable of capturing the correct sentiment of ambiguous words and other special words by extracting aspect-context using word vector similarity instead of expensive lexical resources, and hence, shows superior performance in terms of accuracy as compared to other methods.

scholarly journals Consumer Adoption of Consumer-Created vs. Expert-Created Information: Moderating Role of Prior Product Attitude

2021 ◽  
Vol 13 (4) ◽  
pp. 2024
Author(s):  
Do-Hyung Park
Keyword(s):  
Information Structure ◽  
Source Credibility ◽  
Consumer Decision Making ◽  
Brand Attitudes ◽  
Consumer Reviews ◽  
Brand Evaluation ◽  
Online Consumer Reviews ◽  
Online Consumer ◽  
Moderating Role ◽  
Persuasive Effect

Today, consumer-created information such as online consumer reviews have become important and popular, playing a key role in consumer decision making. Compared with expert-created information, each piece of information is less powerful or persuasive, but their aggregation can be more credible and acceptable. This concept is called collective intelligence knowledge. This study focuses on the persuasive effect on consumer product attitudes of consumer-created information compared to expert-created information. Using source credibility and familiarity theory, the study reveals how prior brand attitudes can play a moderating role in the persuasive effect of consumer-created information and expert-created information. Specifically, this study shows how consumer-created information is more persuasive when consumers have more favorable prior brand attitudes, while expert-created information is more persuasive when consumers have less favorable prior brand attitudes. Based on the results, this study proposes practical strategies for information structure, curation, and presentation. If a company has a good-quality brand evaluation of its products, it should increase the weight of consumer-created information such as online consumer reviews. Otherwise, the company needs to first improve brand evaluation through expert-created information such as third-parties or power-blogger reviews.

Application of semantic technologies in bibliographic databases

2019 ◽  
Vol 38 (1) ◽  
pp. 113-137
Author(s):  
Tsvetanka Georgieva-Trifonova ◽  
Kaloyan Zdravkov ◽  
Donika Valcheva
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Keyword Search ◽  
Bibliographic Databases ◽  
Future Research ◽  
Semantic Technologies ◽  
Scientific Review ◽  
Content Type ◽  
Research Questions

Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

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